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Focal high-level amplifications of MYC (or MYCC) define a subset of high-risk medulloblastoma patients. However, the prognostic role of MYCN oncogene amplification remains unresolved. We aimed to evaluate the prognostic value of this alteration alone and in combination with biological modifiers in 67 pediatric medulloblastomas with MYCN amplification (MYCN-MB). Twenty-one MYCN-MB were examined using gene expression profiling and array-CGH, whereas for 46 tumors immunohistochemical analysis and FISH were performed. All 67 tumors were further subjected to mutational analyses. We compared molecular, clinical, and prognostic characteristics both within biological MYCN-MB groups and with non-amplified tumors. Transcriptomic analysis revealed SHH-driven tumorigenesis in a subset of MYCN-MBs indicating a biological dichotomy of MYCN-MB. Activation of SHH was accompanied by variant-specific cytogenetic aberrations including deletion of 9q in SHH tumors. Non-SHH MB were associated with gain of 7q and isochromosome 17q/17q gain. Among clinically relevant variables, SHH subtype and 10q loss for non-SHH tumors comprised the most powerful markers of favorable prognosis in MYCN-MB. In conclusion, we demonstrate considerable heterogeneity within MYCN-MB in terms of genetics, tumor biology, and clinical outcome. Thus, assessment of disease group and 10q copy-number status may improve risk stratification of this group and may delineate MYCN-MB with the same dismal prognosis as MYC amplified tumors. Furthermore, based on the enrichment of MYCN and GLI2 amplifications in SHH-driven medulloblastoma, amplification of these downstream signaling intermediates should be taken into account before a patient is enrolled into a clinical trial using a smoothened inhibitor.

The contribution of microRNAs to the initiation, progression, and metastasis of medulloblastoma (MB) remains poorly understood. Metastatic dissemination at diagnosis is present in about 30% of MB patients, and is associated with a dismal prognosis. Using microRNA expression profiling, we demonstrate that the retinal miR-183-96-182 cluster on chromosome 7q32 is highly overexpressed in non-sonic hedgehog MBs (non-SHH-MBs). Expression of miR-182 and miR-183 is associated with cerebellar midline localization, and miR-182 is significantly overexpressed in metastatic MB as compared to non-metastatic tumors. Overexpression of miR-182 in non-SHH-MB increases and knockdown of miR-182 decreases cell migration in vitro. Xenografts overexpressing miR-182 invaded adjacent normal tissue and spread to the leptomeninges, phenotypically reminiscent of clinically highly aggressive large cell anaplastic MB. Hence, our study provides strong in vitro and in vivo evidence that miR-182 contributes to leptomeningeal metastatic dissemination in non-SHH-MB. We therefore reason that targeted inhibition of miR-182 may prevent leptomeningeal spread in patients with non-SHH-MB.

Purpose: Integrated genomics approaches have revealed at least four distinct biologic variants of medulloblastoma: WNT (wingless), SHH (sonic hedgehog), group C, and group D. Because of the remarkable clinical heterogeneity of group D tumors and the dismal prognosis of group C patients, it is vital to identify molecular biomarkers that will allow early and effective treatment stratification in these non-WNT/non-SHH tumors., Patients and Methods: We combined transcriptome and DNA copy-number analyses for 64 primary medulloblastomas. Bioinformatic tools were used to discover marker genes of molecular variants. Differentially expressed transcripts were evaluated for prognostic value in the screening cohort. The prognostic power of follistatin-like 5 (FSTL5) immunopositivity was tested for 235 nonoverlapping medulloblastoma samples on two independent tissue microarrays., Results: Comprehensive analyses of transcriptomic and genetic alterations delineate four distinct variants of medulloblastoma. Stable subgroup separation was achieved by using the 300 transcripts that varied the most. Distinct expression patterns of FSTL5 in each molecular subgroup were confirmed by quantitative real-time polymerase chain reaction. Immunopositivity of FSTL5 identified a large cohort of patients (84 of 235 patients; 36%) at high risk for relapse and death. Importantly, more than 50% of non-WNT/non-SHH tumors displayed FSTL5 negativity, delineating a large patient cohort with a good prognosis who would otherwise be considered intermediate or high-risk on the basis of current molecular subgrouping., Conclusion: FSTL5 expression denoted a dismal prognosis both within and across medulloblastoma subgroups. The addition of FSTL5 immunohistochemistry to existing molecular stratification schemes constitutes a reliable and cost-effective tool for prognostication in future clinical trials of medulloblastoma.

Purpose: Medulloblastoma is a rare primary brain tumor in adults, whereas it constitutes the most common malignant brain tumor in children. Integrated genomics approaches revealed at least four distinct disease variants in children. The aim of this study was to investigate molecular subtypes and their prognostic implication in a large cohort of adult medulloblastomas as the biology in this age group remains poorly understood., Patients and Methods: We combined transcriptome and DNA copy number analyses for 28 adult medulloblastomas. Statistical and bioinformatic tools were applied to discover distinct molecular variants. Clinical and molecular characteristics of each biologic subtype were validated using immunohistochemistry on a tissue microarray derived from an independent patient cohort of adult medulloblastomas (n = 103)., Results: Gene expression profiles revealed three distinct molecular variants with stable subtype separation using the 300 most varying transcripts. Distinct demographics, genetics, transcriptome, and prognosis were noted for each subtype of adult medulloblastoma. Immunohistochemistry revealed aberrant activation of the sonic hedgehog (SHH) pathway in over half of adult medulloblastomas constituting a promising molecular therapeutic target. In contrast, subtype C tumors, which comprise a robust subtype in childhood medulloblastoma are only exceptionally seen in adult cohorts. Notably, adult subtype D and Wnt/wingless tumors were associated with worse prognosis than pediatric cohorts, whereas survival for SHH tumors was similar for both age groups., Conclusion: The transcriptome of adult medulloblastomas differs considerably from pediatric counterparts, both in terms of tumor biology and prognostic impact. Therefore, age-specific classification is required and must be adapted for use in clinical trials of adult medulloblastoma.

Purpose: The role of TP53 mutations in the tumorigenesis of sporadic medulloblastoma (MB) and the value of TP53 mutation status as a prognostic marker are not yet definitely elucidated. A recent report identified TP53 mutations in MB as an adverse prognostic marker. Hence, the current study was conducted to validate the prognostic role of TP53 mutation in MB and to understand its contribution to tumorigenesis., Methods: A comprehensive genetic analysis of 310 MB samples was performed by screening for TP53 mutations and further relating the TP53 mutation status to p53 immunostaining, cytogenetic aberrations, and clinical variables., Results: Mutation analysis of TP53 revealed mutations in 21 (6.8%) of 310 samples. Germline TP53 mutations were found in two patients with a history suggestive of a hereditary cancer syndrome. TP53 mutation status was not associated with unfavorable prognosis (P = .63) and was not linked to 17p allelic loss but was over-represented in the prognostically favorable WNT subgroup of MB as defined by CTNNB1 mutation (seven of 35 TP53-mutated tumors v 14 of 271 TP53 wild-type tumors; P = .005) and in tumors carrying high-level MYCN amplification (seven of 21 TP53-mutated tumors v 14 of 282 TP53 wild-type tumors; P = .001)., Conclusion: The contradictory results in the recent literature concerning the prognostic value of TP53 mutation might be explained by different frequencies of WNT MBs, different frequencies of patients with Li-Fraumeni syndrome, and different cumulative doses of alkylating drugs applied in these studies.

Medulloblastoma is the most common malignant pediatric brain tumor and is one of the leading causes of cancer-related mortality in children. Treatment failure mainly occurs in children harboring metastatic tumors, which typically carry an isochromosome 17 or gain of 17q, a common hallmark of intermediate and high-risk medulloblastoma. Through mRNA expression profiling, we identified LIM and SH3 protein 1 (LASP1) as one of the most upregulated genes on chromosome 17q in tumors with 17q gain. In an independent validation cohort of 101 medulloblastoma samples, the abundance of LASP1 mRNA was significantly associated with 17q gain, metastatic dissemination, and unfavorable outcome. LASP1 protein expression was analyzed by immunohistochemistry in a large cohort of patients (n = 207), and high protein expression levels were found to be strongly correlated with 17q gain, metastatic dissemination, and inferior overall and progression-free survival. In vitro experiments in medulloblastoma cell lines showed a strong reduction of cell migration, increased adhesion, and decreased proliferation upon LASP1 knockdown by small interfering RNA-mediated silencing, further indicating a functional role for LASP1 in the progression and metastatic dissemination of medulloblastoma.

Purpose: Medulloblastoma (MB) is the most common malignant brain tumor in children, whereas it rarely presents in adults. We aimed to identify genetic aberrations in 146 adult MBs to evaluate age-dependent differences in tumor biology and adapt age-specific risk stratification models., Methods: As a screening set, we studied a cohort of 34 adult MBs by using array-based comparative genomic hybridization comparing molecular results with clinical data. DNA copy number aberrations identified as possible prognostic markers were validated in an independent cohort of 112 adult patients with MB by fluorescent in situ hybridization analysis. Results were compared with the data obtained from 404 pediatric patients with MB., Results: CDK6 amplification, 10q loss, and 17q gain are the most powerful prognostic markers in adult MB. Whereas MYC/MYCN oncogene amplifications had a high prognostic value in pediatric MB, these aberrations were rarely observed in adult tumors. Surprisingly, adult MBs with 6q deletion and nuclear beta-catenin activation did not share the excellent prognosis with their pediatric counterparts., Conclusion: Adult MB is distinct from pediatric MB in terms of genomic aberrations and their impact on clinical outcomes. Therefore, adult MBs require age-specific risk stratification models. We propose a molecular staging system involving three distinct risk groups based on DNA copy number status of 10q and 17q.

Purpose: Medulloblastoma is the most common malignant brain tumor in children. Current treatment decisions are based on clinical variables. Novel tumor-derived biomarkers may improve the risk stratification of medulloblastoma patients., Patients and Methods: A model for the molecular risk stratification was proposed from an array-based comparative genomic hybridization (array-CGH) screen (n = 80). Fluorescence in situ hybridization (FISH) analyses for chromosome arms 6q, 17p, and 17q and the MYC and MYCN loci were performed in an independent validation set (n = 260). Copy number aberrations were correlated with clinical, histologic, and survival data., Results: Gain of 6q and 17q and genomic amplification of MYC or MYCN were each associated with poor outcome in the array-CGH study (n = 80). In contrast, all patients with 6q-deleted tumors survived. Given these findings, the following hierarchical molecular staging system was defined: (1) MYC/MYCN amplification, (2) 6q gain, (3) 17q gain, (4) 6q and 17q balanced, and (5) 6q deletion. The prognostic value of this staging system was investigated by FISH analysis (n = 260). The addition of molecular markers to clinical risk factors resulted in the identification of a large proportion of patients (72 of 260 patients; 30%) at high risk for relapse and death who would be considered standard risk by application of clinical variables alone., Conclusion: Genomic aberrations in medulloblastoma are powerful independent markers of disease progression and survival. By adding genomic markers to established clinical and histologic variables, outcome prediction can be substantially improved. Because the analyses can be conducted on routine paraffin-embedded material, it will be especially feasible to use this novel molecular staging system in large multicenter clinical trials.

Medulloblastomas comprise the most frequent malignant brain tumor in childhood and one of the biggest challenges in pediatric oncology. The current concept suggests that these tumors may undergo stepwise progression as it has been shown for other brain tumors. However, conclusive evidence of molecular progression over time has not been demonstrated yet for medulloblastoma. In the present study, 28 pairs of medulloblastoma at primary diagnosis and at the time of recurrence, either occurring as local tumor regrowth or tumor dissemination, were histopathologically and molecularly analyzed. Cytogenetic analysis included interphase fluorescence in situ hybridization for five genomic loci (MYC, MYCN, 17p, 17q, 6q) that have previously been identified as prognostic markers in primary tumors. Of 16 tumors showing early recurrence (<4 years after first diagnosis), only one showed increased histological anaplasia in the secondary lesion (6%), and two acquired genomic lesions indicative for a more malignant phenotype (13%). In contrast to this, of 12 tumors with a time to recurrence of 4 years or more, nine tumors (75%) showed a more malignant phenotype either reflected by increased anaplasia alone or by both increased anaplasia and acquirement of genomic aberrations known to be associated with inferior patient outcome. These results suggest that early recurrence in medulloblastoma mainly occurs in tumors with a highly malignant genotype and phenotype per se, whereas late recurrence is often dependent on tumor evolution toward a more malignant biology. Therefore, biopsy of recurrent tumors should be performed to assess the biologic properties of the relapsed tumor, especially when targeted therapy approaches are considered.

Supratentorial primitive neuroectodermal tumors (stPNETs) and medulloblastomas have long been thought to arise from a common cell type in the subventricular germinal matrix. Because of the infrequent occurrence of stPNETs, little is known about their genetic background. Here, we performed a genome-wide screening for DNA copy-number aberrations in 10 supratentorial PNETs using array-based comparative genomic hybridization (array-CGH). Comparing our findings with data from a previous array-CGH study on 47 medulloblastomas, we identified differences in the frequency of copy-number losses at chromosome regions 1p12-22.1 and 9p, and gains at 19p, all of them more frequently occurring in stPNETs. In contrast to previous reports, we detected chromosome 17 aberrations by array-CGH in 2/10 stPNETs. To validate our findings obtained by array-CGH, we analyzed the loci of interest by fluorescence in situ hybridization in an independent set of 11 stPNETs and found deletions of 9p21 in 5/11 tumors of the second set, three of them being homozygous. All 9p21 deletions were associated with loss of CDKN2A protein expression. Altogether, CDKN2A deletions were detected in 7/21 stPNETs including four homozygous deletions, whereas such deletions were only found in 4/112 medulloblastomas, all of these being heterozygous (P < 0.001). Gains of 19p (14% vs. 0% in medulloblastomas, P = 0.02) were found to be significantly more frequent in stPNETs, whereas gains of 17q (14% vs. 45% in medulloblastomas, P = 0.02) were confirmed to be more frequent in medulloblastomas. These data further support the hypothesis of two different tumor entities of embryonal neuroepithelial tumors with characteristic genetic aberrations. (c) 2007 Wiley-Liss, Inc.

Existing microarray-based approaches for screening of DNA methylation are hampered by a number of shortcomings, such as the introduction of bias by DNA copy-number imbalances in the test genome and negligence of tissue-specific methylation patterns. We developed a method designated array-based profiling of reference-independent methylation status (aPRIMES) that allows the detection of direct methylation status rather than relative methylation. Array-PRIMES is based on the differential restriction and competitive hybridization of methylated and unmethylated DNA by methylation-specific and methylation-sensitive restriction enzymes, respectively. We demonstrate the accuracy of aPRIMES in detecting the methylation status of CpG islands for different states of methylation. Application of aPRIMES to the DNA from desmoplastic medulloblastomas of monozygotic twins showed strikingly similar methylation profiles. Additional analysis of 18 sporadic medulloblastomas revealed an overall correlation between highly methylated tumors and poor clinical outcome and identified ZIC2 as a frequently methylated gene in pediatric medulloblastoma.

Purpose: Medulloblastoma is the most common malignant brain tumor in children. Despite multimodal aggressive treatment, nearly half of the patients die as a result of this tumor. Identification of molecular markers for prognosis and development of novel pathogenesis-based therapies depends crucially on a better understanding of medulloblastoma pathomechanisms., Patients and Methods: We performed genome-wide analysis of DNA copy number imbalances in 47 medulloblastomas using comparative genomic hybridization to large insert DNA microarrays (matrix-CGH). The expression of selected candidate genes identified by matrix-CGH was analyzed immunohistochemically on tissue microarrays representing medulloblastomas from 189 clinically well-documented patients. To identify novel prognostic markers, genomic findings and protein expression data were correlated to patient survival., Results: Matrix-CGH analysis revealed frequent DNA copy number alterations of several novel candidate regions. Among these, gains at 17q23.2-qter (P < .01) and losses at 17p13.1 to 17p13.3 (P = .04) were significantly correlated to poor prognosis. Within 17q23.2-qter and 7q21.2, two of the most frequently gained chromosomal regions, confined amplicons were identified that contained the PPM1D and CDK6 genes, respectively. Immunohistochemistry revealed strong expression of PPM1D in 148 (88%) of 168 and CDK6 in 50 (30%) of 169 medulloblastomas. Overexpression of CDK6 correlated significantly with poor prognosis (P < .01) and represented an independent prognostic marker of overall survival on multivariate analysis (P = .02)., Conclusion: We identified CDK6 as a novel molecular marker that can be determined by immunohistochemistry on routinely processed tissue specimens and may facilitate the prognostic assessment of medulloblastoma patients. Furthermore, increased protein-levels of PPM1D and CDK6 may link the TP53 and RB1 tumor suppressor pathways to medulloblastoma pathomechanisms.

Medulloblastoma, a primitive neuroectodermal tumor of the cerebellum, is one of the most common central nervous system malignancies of childhood. Despite aggressive multimodal therapy, including surgery, irradiation, and chemotherapy, 5-year survival rates have only approached 50-60%. To identify potential candidate genes that predict for overall survival (OS), we performed a gene expression profiling analysis in 35 newly diagnosed medulloblastoma neoplasms. Subsequently, the nine most promising candidate genes were analyzed by immunohistochemistry and fluorescence in situ hybridization on tumor tissue microarrays representing a series of 180 tumors. We found 54 genes in which expression levels predicted for unfavorable survival in medulloblastoma. In line with the gene expression profiling analysis, a positive staining for STK15 (P = 0.0006), stathmin 1 (P = 0.001), and cyclin D1 (P = 0.03) was associated with an unfavorable OS, whereas cyclin B1, DAXX, Ki-67, MYC, NRAS, and p53 showed no statistical significant effect. In comparison to clinically defined parameters such as gender, age, metastatic stage, extent of tumor resection, application of chemotherapy, and tumor grade, positive staining for STK15 was identified as an independent prognostic factor for OS (P = 0.026). Moreover, additional gene copy numbers of MYC (P = 0.003) and STK15 (P = 0.05) predicted for poor survival. The combination of gene expression profiling with tissue microarray experiments allowed the identification of a series of candidate genes that predicts for survival in medulloblastoma. Of the results highlighted by the various data analysis procedures, genes associated with cell proliferation (cyclin D1), transcription (MYC), and especially mitosis (stathmin 1, STK15) appear particularly intriguing with respect to medulloblastoma pathomechanism.

Motivation: Principal component analysis (PCA) is a basic tool often used in bioinformatics for visualization and dimension reduction. However, it is known that PCA may not consistently estimate the true direction of maximal variability in high-dimensional, low sample size settings, which are typical for molecular data. Assuming that the underlying signal is sparse, i.e. that only a fraction of features contribute to a principal component (PC), this estimation consistency can be retained. Most existing sparse PCA methods use L1-penalization, i.e. the lasso, to perform feature selection. But, the lasso is known to lack variable selection consistency in high dimensions and therefore a subsequent interpretation of selected features can give misleading results. Results: We present S4VDPCA, a sparse PCA method that incorporates a subsampling approach, namely stability selection. S4VDPCA can consistently select the truly relevant variables contributing to a sparse PC while also consistently estimate the direction of maximal variability. The performance of the S4VDPCA is assessed in a simulation study and compared to other PCA approaches, as well as to a hypothetical oracle PCA that 'knows' the truly relevant features in advance and thus finds optimal, unbiased sparse PCs. S4VDPCA is computationally efficient and performs best in simulations regarding parameter estimation consistency and feature selection consistency. Furthermore, S4VDPCA is applied to a publicly available gene expression data set of medulloblastoma brain tumors. Features contributing to the first two estimated sparse PCs represent genes significantly over-represented in pathways typically deregulated between molecular subgroups of medulloblastoma. [ABSTRACT FROM AUTHOR]